Full-Time

Staff Data Analyst

Manufacturing Systems Engineering

Confirmed live in the last 24 hours

10x Genomics

10x Genomics

1,001-5,000 employees

Biotechnology tools for genomic research

Biotechnology
Healthcare

Compensation Overview

$161.5k - $218.5kAnnually

+ Equity Grants + Annual Bonus Program

Senior, Expert

Pleasanton, CA, USA

Position requires on-site presence in Pleasanton, California.

Category
Data Management
Data Analysis
Data Engineering
Data & Analytics
Required Skills
Minitab
Python
JavaScript
MySQL
R
SQL
Postgres
MATLAB
Tableau
AWS
Oracle
Data Analysis
Snowflake
Requirements
  • Degree in Computer science, Data science, Engineering, Statistics, or related field, with an emphasis in statistical process control and monitoring.
  • BS with 9+ years of experience, or MS / PhD with 5-8 years of experience.
  • Relevant experience developing process control for the manufacture of successful products.
  • Proficiency in programming languages such as Python and JavaScript
  • Experience with ETL development and proficiency in SQL; experience with transactional and relational databases (e.g., MySQL, Oracle, PostgreSQL).
  • Experience with cloud-based data platforms & services (e.g., Snowflake, AWS Services).
  • Experience with standard statistical analysis software (e.g. JMP, R, CHARTrunner, Minitab, Matlab) is required.
  • Experience with data visualization tools (e.g., Tableau, Retool).
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
  • Desire to be part of a rapidly evolving organization, with a compelling technology, and taking products and processes to the next level.
  • Working knowledge of Lean and/or Six Sigma methodologies a must.
  • Familiarity with Next Gen Sequencing data and key sequencing pipelines and metrics a must.
Responsibilities
  • Collect requirements for data visualization/analysis projects and work with stakeholders to fully define and prioritize projects.
  • Transform business requirements into technical requirements for data visualization/analysis projects.
  • Create and maintain analysis tools and dashboards.
  • Partner with the stakeholders, ensuring minimal disruption to data workflows, and implement and optimize ETL processes to develop and scale data integration and analysis of quality-related data (quality control, nonconformances, manufacturing data) and from various sources.
  • Write custom database queries to extract and aggregate MES, SCADA, and QC data from multiple sources, analyze this data and establish trends and guard bands for process control.
  • Contribute to CAPA investigations and remediation. Provide data analysis and support for root cause investigations.
  • Produce reports on process / method capabilities, component variability and ANOVA.
  • Maintain accurate and detailed records of testing, conduct in-depth data analysis, and clearly communicate these results through documentation and presentations.
  • Collaborate with stakeholders (e.g., customer-facing support teams, centralized data team, finance, logistics, manufacturing engineering, quality, and R&D) to understand data requirements and ensure data is readily available for analysis.
  • Document data engineering processes, standards, and best practices to ensure knowledge sharing and maintainability.
  • Continuously evaluate and adopt new technologies and tools to improve data engineering processes and efficiency.

10x Genomics develops products that enhance genomic research, particularly in the life sciences sector. Their main offerings include tools for single-cell analysis, spatial gene expression, and immune profiling, which allow researchers to examine genetic information in great detail. These products help scientists understand complex biological systems and are essential for advancing personalized medicine. 10x Genomics sells laboratory equipment, consumables like reagents and microfluidic chips, and software solutions for data analysis. They stand out from competitors by focusing on high-resolution genomic data and providing ongoing support and training for their clients, which include research institutions, universities, hospitals, and pharmaceutical companies. The company's goal is to empower researchers with the tools they need to explore the human genome and develop new treatments.

Company Stage

IPO

Total Funding

$214.9M

Headquarters

Pleasanton, California

Founded

2012

Growth & Insights
Headcount

6 month growth

5%

1 year growth

0%

2 year growth

14%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for single-cell analysis in cancer research boosts market potential.
  • New product launches in 2024 enhance accessibility and affordability.
  • Increased use of AI in genomics strengthens their software solutions.

What critics are saying

  • Emerging competitors offer similar technologies at lower costs.
  • Potential patent litigation could lead to costly legal battles.
  • Supply chain vulnerabilities may disrupt production and delivery schedules.

What makes 10x Genomics unique

  • 10x Genomics offers unique single-cell and spatial biology solutions.
  • Their Chromium products democratize access to single-cell analysis.
  • Innovative On-Chip Multiplex solution reduces sample preparation complexity.

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Benefits

Comprehensive health benefits

Generous time off

Parental leave